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Questions tagged [game-ai]

For questions related to game design involving AI.

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How to select an equilibrium among the landscape of Nash equilibria in poker?

Reading some articles on counterfactual regret minimization solutions of HULHE and HUNLHE poker published in the last decades -like 1, 2- i was wondering what can be said about the different Nash ...
plm's user avatar
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2 votes
2 answers
134 views

Can I use Alpha-Beta Pruning for real life game simulation?

I had an idea to use the this algorithm to simulate real life game scenarios where a player could train and retrain their mistake and be ready for when that situation happens again in real life. This ...
Caio Amaral's user avatar
1 vote
1 answer
76 views

RL agent for autonomous vehicle is able to follow the road but can't avoid crashing at all (Highway-Env / Racetrack Env.)

I coded some deep RL algorithms (DQN and SAC) with tf2/keras to solve an environment where a vehicle needs to follow the track and avoid crashing into one other vehicle (there is only one other ...
rafiqollective's user avatar
2 votes
1 answer
1k views

Neural network for game

There is a game for two, which is an NxN field (always the same size). Players take turns. The first player's goal is to connect the two points (not necessarily at the corners) given on this field. ...
user3576767's user avatar
2 votes
1 answer
121 views

How can we create an encoding scheme that captures these relationships between the suits of cards in poker?

In poker, a standard deck of 52 cards is used. Each card has one of 13 ranks, ranging from Ace to Deuce, and one of 4 suits: Spades, Hearts, Diamonds, or Clubs. The rank of a card is crucial. For ...
Kasia's user avatar
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1 vote
1 answer
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Do "procedurally generated" images use a set of base images to generate new images (as AI generated images do)?

I am new here, and apologize if this question is off-topic. I know that AI generated images are based on a set or database of real images created by real artists. In game development, I have heard of ...
Job_September_2020's user avatar
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0 answers
58 views

How to use deep learning to train an AI to play a two-player tactic game like rock-papers-scissors?

I want to try to train an AI model that can play a simple two-player tactic game. The game is not rock-papers-scissors, but have similar properties. Firstly, two players present their moves ...
Jason Jia's user avatar
5 votes
1 answer
211 views

Modern reinforcement learning for video game NPCs

Recently, I have been reading about the 1996 artificial life game 'Creatures'. The game features NPCs called 'Norns' that use reinforcement learning to learn continuously through interactions with the ...
akliyen's user avatar
  • 53
1 vote
2 answers
60 views

How to Represent Boardless Board Game as Input to RL Model?

I am currently doing my thesis project by creating an Imitation Learning (IL) agent that learns to play the board game Hive, which lacks a traditional 2D board. Pieces are placed relative to one ...
Johnny McKenzie's user avatar
2 votes
1 answer
260 views

Implementing an RL agent on a variable action space

I've been trying to design and implement a DQN agent as an AI opponent option for a math game I've been working on. The game is a turn-based grid game, where players alternate making moves and ...
X496's user avatar
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What do I need to learn to tackle the following problem: make a program that optimizes decisions in the game PlateUp!

So, recently my friends and I have been hooked on a videogame called PlateUp!. The game is kind of a management game where the objective is to succesfully run a restaurant. The game can be roughly ...
Francisco José Letterio's user avatar
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1 answer
147 views

How do you define an action space for a card game with an unlimited and variable hand size?

I'm new to the world of AI and have been primarily reading through the documentation for OpenAI's Gym/Gymnasium in hopes of training an AI to play a board game. One piece of information I haven't been ...
haec0007's user avatar
0 votes
0 answers
38 views

Training model for a board game with large actions space

that has a NxM board, and players take turns putting their "dots" on the board a X,Y coordinate, taking up the space. When a few connected dots surround an opponent dot(s), the surrounding ...
MeLight's user avatar
  • 101
1 vote
1 answer
75 views

Can humans surpass AI in game-playing?

In the realm of game-playing, such as in the cases of AlphaGo and Deep Blue, can humans ultimately surpass AI in skill? Despite the current dominance of machine learning, what factors may contribute ...
Lerner Zhang's user avatar
1 vote
1 answer
151 views

The neural network for a board game with somewhat imperfect information

I am a Software Engineer and I implemented online a pretty complex board game. Some key rules of the game. You have some cards in the hand and you can choose different turns. Build a card of certain ...
Alex Nikitin's user avatar
1 vote
2 answers
110 views

Do the mathematics of Go imply an AI could solve it, or does a complexity bound imply AI skill will plateau?

Based on the mathematics of Go and the machine learning algorithms used to play it, is there a mathematical limit as to how much of the game-tree space even an AI could learn, because of the inherent ...
Julius Hamilton's user avatar
2 votes
2 answers
155 views

How should I train the players in the game of tag?

I have a simple game of tag, where red player tries to catch the blue player. Red player wins if it catches the blue player in under 10 seconds, but if not, then blue wins. My goal is to teach the ...
MaLa's user avatar
  • 143
1 vote
0 answers
49 views

What is the depth reached by chess-AI agents on a regular computer?

I'm looking for some reference for the number of lookahead steps typically used by chess agents (Stockfish / Leela Chess Zero / others?) From a quick search, I found that the answer depends on: ...
Cohensius's user avatar
  • 413
1 vote
1 answer
266 views

Train Deep Q-Learning Network on a game without source code

So I have some games that I like, and I'd like to create a net that can play them, just for fun. But I don't have their source code, so I can't just pull the information I want and create a state from ...
Skyr's user avatar
  • 13
1 vote
1 answer
424 views

MCTS with multi actions

I know that MCTS usually is meant for games where each player plays turn by turn and the canonical form of the board is passed through the tree but is it possible for one player to make multiple moves ...
Anik Patel's user avatar
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0 answers
169 views

Find evils with AI (social deduction games)

I’ve been playing a game called Town of Salem lately. The goal of the game is for the town to find and lynch all evils in the town. To lynch someone, they must be voted up to the gallows first. This ...
Some Guy's user avatar
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1 vote
0 answers
44 views

Help with model architecture for a racing game

I’m working on a model for a racing game using pytorch. The model gets frame from the game as input and produces a controller state as output. The dataset consists of frames from the game and ...
dht2003's user avatar
  • 11
0 votes
1 answer
76 views

Could a good poker-playing AI be made that didn't look at its own cards?

A bit ago, I found out that researchers had taught a machine to play Texas Hold'Em at a level that beat most champions. However, that AI had access to the information of what cards it was dealt. So I ...
SoItBegins's user avatar
1 vote
0 answers
369 views

How should I choose the depth for minimax if I have a strict time constraint?

I am working on a controller that plays Ms. Pac-Man using a minimax algorithm. The controller has a limited time amount in which it can choose a move on each round, otherwise when the time runs out ...
InCrisis's user avatar
1 vote
1 answer
192 views

Which RL algorithm should I use to learn an optimal weight vector?

What is the best practice in order to learn the optimal weight vector $W^*$? By optimal I mean the weights that will produce the agent with the highest win-rate. I have an agent that plays a ...
Cohensius's user avatar
  • 413
1 vote
1 answer
365 views

Do I need to create one or many neural networks to play Risk? [closed]

I have a school project to develop an AI model that plays the Risk board game as optimally as possible. Now, I have made the environment of Risk in Python and I narrowed down my possible machine ...
Xibby's user avatar
  • 13
0 votes
0 answers
69 views

Encoding Actions with Parameters in Neural Network Output

I have a task which I would like to teach an AI to perform. The input to the task will a screenshot of the screen and the output at any given time step is one of the following actions: ...
turbo_sheep's user avatar
2 votes
2 answers
1k views

What is the Bellman equation for V(s) in the case of a deterministic environment?

I am currently trying to practice reinforcement learning for an agent on a grid. The grid is deterministic. Since the grid is deterministic, to calculate the value for each grid square from the reward ...
Krellex's user avatar
  • 145
1 vote
0 answers
188 views

Is there a benefit to starting with MCTS and switching to minimax as the branching factor decreases?

I've invented a deterministic, perfect-information game with a fairly large branching factor (~150) which tapers out dramatically after the midgame (~30 at worst). I need a strong AI. My understanding ...
crass_sandwich's user avatar
1 vote
0 answers
36 views

What are the best practices of adding noise to game-playing bots?

I write bots that play card games. From time to time, I add noise to their decisions, mainly for two reasons: Reduce predictability: In games with hidden information the optimal play is a mix between ...
Cohensius's user avatar
  • 413
1 vote
0 answers
140 views

Detecting cheats visually using AI

I really like to play my favorite 3D shooter game online. Unfortunately, it is really old and cheat protection isn't really common there, but cheaters are! It is very frustrating, because it really ...
harrow's user avatar
  • 111
0 votes
1 answer
70 views

Deep RL reward design for neuron centerline extraction task

As part of a bigger scope project, I'm training a RL agent that attempts to reconstruct, pixel by pixel, the trajectory of a neuron on a segmented image. To give a better insight on the task that I'm ...
Raphasse's user avatar
2 votes
0 answers
462 views

Minimax evaluation function for games with score instead of loss/draw/win result

I am trying to create minimax evaluation function for the Ms Pacman game. The goal of the player is to maximize score. I have some idea about the features that I would like to use in my evaluation ...
Druudik's user avatar
  • 149
1 vote
0 answers
66 views

How to teach Machine Learning Agent to destroy replicating objects in a puzzle game?

I have an unusual but very interesting problem. I have a game that is very similar to Toon Blast (a puzzle mobile game). It's based on a Match-2 mechanic in which you can destroy 2 or more connected ...
Jacob's user avatar
  • 153
2 votes
1 answer
303 views

Which value to propagate in Monte Carlo Tree Search in a non-zero-sum game?

Usually, when I read about Monte Carlo Tree Search, values between 0 and 1 (or values between -1 and 1) are backpropagated, depending on whether the simulation was a win or loss. Now, suppose you have ...
pepijno's user avatar
  • 121
1 vote
2 answers
604 views

Would AlphaZero work just with a value network?

There is a nice post about the intuition why AlphaZero works. One of the advantages of using a policy network in the games where a perfect simulator is available (such as chess) is to save computation ...
Druudik's user avatar
  • 149
2 votes
0 answers
64 views

What AI algorithm could I use to trap an agent in a game?

Imagine a game with grid size 10x10, there is a good guy and a bad guy and obstacles in the grid, i.e. essentially a maze. The goal of the bad guy is to find the good guy and trap him by erecting ...
Sakthi Somaskandan's user avatar
1 vote
1 answer
2k views

How should I define the reward function for a stock trading-like game?

Problem setting Consider a game like trading a stock At each step, the agent can buy / sell a stock. Trade is a pair of ...
em1971's user avatar
  • 155
2 votes
0 answers
34 views

Demonstration of AI-powered Mario collecting lots of coins?

As part of a talk I'm giving, I'd like to show one of the many videos on YouTube where an AI is playing Mario, such as this one. What bothers me though is that the AI is trying to complete the level ...
Ram Rachum's user avatar
0 votes
1 answer
145 views

Is my single layer perceptron getting biased input some way or the other?

I was working a little bit on a school project my team and I decided to do for submission in the year-end. It's a small game which I call 'Quattro', and its rules are as follows: The game is played ...
Spectre's user avatar
  • 177
2 votes
2 answers
193 views

How to embed game grid state with walls as an input to neural network

I've read most of the posts on here regarding this subject, however most of them deal with gameboards where there are two different categories of single pieces on a board without walls etc. My game ...
Arlo Rostirolla's user avatar
1 vote
2 answers
966 views

How does one handle different player turns in MCTS?

Suppose we have a two player game like Tic Tac Toe where the two players take turns to play their moves. It is my understanding that in the game tree that MCTS builds, consecutive levels in the tree ...
Michael's user avatar
  • 159
1 vote
0 answers
349 views

Why doesn't this Monte Carlo Tree Search algorithm work properly?

PROBLEM I'm writing a Monte-Carlo tree search algorithm to play chess in Python. I replaced the simulation stage with a custom evaluation function. My code looks perfect but for some reason acts ...
Ifeanyi Obinelo's user avatar
1 vote
1 answer
106 views

Scrabble rack observation with MuZero

Currently I'm trying to implement Scrabble with MuZero. The $15 \times 15$ game board observation (as input) is of size $27 \times15 \times15$ (26 letters + 1 wildcard) with a value of 0 or 1. However ...
Thrusticy's user avatar
0 votes
1 answer
230 views

How to approach a two-agent two-step action game?

A simple two-player sniper game: Each player has 9 houses that he can reside in. So 18 houses in total. The houses can be considered in a row: e.g. 1-9 for player A, and 10-18 for player B. Each ...
Moradnejad's user avatar
5 votes
1 answer
233 views

How to handle cycles in minimax algorithm

For example, I am implementing AI for turn based game and have enough computational resources for build full game tree. My problem is the game can be infinite if both players will repeat moves and my ...
Terri Erickson's user avatar
1 vote
0 answers
45 views

Why is the number of examined nodes $ O(b^{3d/4})$ in $\alpha$-$\beta$ pruning?

I'm taking a course 'Introduction to AI' and, in one of the tutorials, it was written that when pruning the game tree using $\alpha$-$\beta$ boundaries, the number of nodes that will be developed, ...
E. Ginzburg's user avatar
4 votes
2 answers
657 views

How is the AI in 3d games implemented?

A few days ago, I started looking a bit more into AI and learning about the way it works, and it is very interesting, but I can't find a clear answer on how the artificial intelligence is implemented ...
Irkl1_'s user avatar
  • 43
1 vote
0 answers
496 views

What is the size of 6-players no limit Texas holdem Poker?

What is the number of game states/information sets in 6-players, no limit, Texas Holdem? A year ago, Pluribus reached a super-human level in 6-players no limit Holdem Poker. I am interested in the ...
Cohensius's user avatar
  • 413
1 vote
1 answer
2k views

Determining minimal state representation for maze game

I came across this question set. It asks following question: Let’s revisit our bug friends from assignment 2. To recap, you control one or more insects in a rectangular maze-like environment with ...
Mahesha999's user avatar

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